Rust Jobs for Rustaceans

Key Responsibilities:

• Align the teams in ML Infrastructure and related organizations to a coherent technical vision and deliver systems that fit well together.
• Exert influence over multiple teams, increasing their productivity and effectiveness. You hold peers and teams to a high bar for performance and efficiency, and aid teams through your expert guidance and example.
• Considered to be an authority on technical issues by both the technical and research community, you are responsible for guiding difficult trade-off decisions and drive awareness about the impact and consequences of technical decisions on AI research and product development.
• Demonstrate significant innovation, creativity, and judgement when solving challenging AI/ML infrastructure problems. Identify future skills needed across your organization and advocate for the development and/or acquisition of those skills to senior leaders. You scout top talent and recruit them to the company.
• Actively mentor senior and Principal engineers, scale yourself by developing and institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization.

A day in the life
8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure

• 8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust
• Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc
• Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up
• Knowledge of emerging AI hardware accelerators and architectures
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with cloud computing platforms (AWS, Azure, GCP) and their offerings

Requirements:

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications:

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent